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Hire GCP Engineering
for Google Cloud infrastructure

From Compute Engine and GKE to BigQuery and Cloud Run, our GCP engineers design and manage cloud-native infrastructure that leverages Google's global network and AI capabilities.
Compute Engine, GKE, Cloud Run & App Engine deployments
BigQuery, Cloud SQL, Cloud Spanner & Firestore data solutions
Cloud Functions, Cloud Run & Eventarc serverless architectures
VPC, Cloud Load Balancing, Cloud CDN & Cloud Armor networking
Cloud Monitoring, Cloud Logging & IAM security management
Core Capabilities
What we build with GCP
Compute & Orchestration
Scalable and managed
GKE for container orchestration with auto-scaling, Cloud Run for serverless containers, Compute Engine for VM workloads, and Cloud Functions for event-driven compute.
Compute & Orchestration
Data & Analytics
Petabyte-scale and real-time
BigQuery for serverless analytics, Cloud SQL and Cloud Spanner for relational databases, Firestore for NoSQL, and Dataflow for stream and batch processing.
Data & Analytics
AI & ML Infrastructure
Vertex AI and TPUs
Vertex AI for ML model training and serving, Cloud TPUs for accelerated deep learning, AutoML for custom models, and Gemini API integration.
AI & ML Infrastructure
How It Works
From architecture to production
Step 1
Architecture &
Landing Zone
We design your GCP organization structure, VPC networking, IAM policies, and resource hierarchy using best practices from Google's Cloud Architecture Framework.
Step 2
Agile
Development
Our cloud platform engineers work in 2-week sprints with infrastructure-as-code and CI/CD pipelines. You see cloud infrastructure evolving every step of the way.
Step 3
Security &
CI/CD
Cloud Build and Artifact Registry for CI/CD, Binary Authorization for container signing, Security Command Center for threat detection, and our QA specialists and DevOps engineers validate infrastructure changes through automated pipelines.
Step 4
Deployment &
Monitoring
Cloud Monitoring and Cloud Logging for observability, managed Prometheus for metrics, Cloud Trace for distributed tracing, and SLO-based alerting with Cloud Monitoring.
Hire GCP Engineers

GCP engineers ready to join your team

Build on Google Cloud with dedicated engineers who leverage Google's infrastructure, AI, and data analytics capabilities.

Why product Enhancement
Improve with intent, not impulse
Architecture review
AI-assisted
architecture review
AI tools review GCP architecture for cost optimization, identify underutilized resources, suggest committed use discounts, and flag security misconfigurations.
AI FinOps icon
AI-powered
FinOps
Automated cost analysis with BigQuery and Looker Studio, anomaly detection in cloud spend, and AI-driven recommendations for workload right-sizing and resource scheduling.
Performance optimization icon
Performance
optimization
Cloud CDN and Load Balancing tuning, GKE node auto-provisioning optimization, Cloud SQL query insights, and BigQuery slot reservation planning.
Intelligent automation icon
Intelligent
automation
Automated infrastructure provisioning with Terraform and Config Connector, AI-driven incident response playbooks, and self-healing infrastructure with Cloud Monitoring alerts.
FAQ

Frequently Asked
Questions

GCP offers Google's planet-scale infrastructure, industry-leading data analytics with BigQuery, Kubernetes-native services with GKE (created by Google), and deep AI integration with Vertex AI and Gemini models.
Yes. We use Google's Migrate for Compute Engine, Database Migration Service, and Storage Transfer Service. We plan phased migrations with minimal downtime and validate workloads in GCP before cutover.
We implement budget alerts, committed use discounts, preemptible/spot VMs for batch workloads, BigQuery slot reservations, Cloud Storage lifecycle policies, and FinOps dashboards with BigQuery cost analysis.
We use GKE for containerized microservices, Cloud Run for serverless workloads, Compute Engine for lift-and-shift VMs, App Engine for web apps, and Cloud Functions for event-driven lightweight compute.
We implement IAM with least privilege, VPC Service Controls, Cloud KMS for encryption, Security Command Center for threat detection, Binary Authorization for containers, and compliance monitoring for SOC 2, HIPAA, and PCI-DSS.
DSi GCP engineering team
LET'S CONNECT
Ready to scale your product?
Book a session to discuss your GCP cloud infrastructure with our engineering leadership.
Talk to the team